Seismic and acoustic signal identification algorithms

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Description

This paper will describe an algorithm for detecting and classifying seismic and acoustic signals for unattended ground sensors. The algorithm must be computationally efficient and continuously process a data stream in order to establish whether or not a desired signal has changed state (turned-on or off). The paper will focus on describing a Fourier based technique that compares the running power spectral density estimate of the data to a predetermined signature in order to determine if the desired signal has changed state. How to establish the signature and the detection thresholds will be discussed as well as the theoretical statistics ... continued below

Physical Description

15 p.

Creation Information

LADD,MARK D.; ALAM,M. KATHLEEN; SLEEFE,GERARD E. & GALLEGOS,DANIEL E. April 3, 2000.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

This paper will describe an algorithm for detecting and classifying seismic and acoustic signals for unattended ground sensors. The algorithm must be computationally efficient and continuously process a data stream in order to establish whether or not a desired signal has changed state (turned-on or off). The paper will focus on describing a Fourier based technique that compares the running power spectral density estimate of the data to a predetermined signature in order to determine if the desired signal has changed state. How to establish the signature and the detection thresholds will be discussed as well as the theoretical statistics of the algorithm for the Gaussian noise case with results from simulated data. Actual seismic data results will also be discussed along with techniques used to reduce false alarms due to the inherent nonstationary noise environments found with actual data.

Physical Description

15 p.

Notes

OSTI as DE00753418

Medium: P; Size: 15 pages

Source

  • SPIE Aerosense Conference, Orlando, FL (US), 04/24/2000--04/28/2000

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Identifier

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  • Report No.: SAND99-2669C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 753418
  • Archival Resource Key: ark:/67531/metadc706966

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Creation Date

  • April 3, 2000

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

Description Last Updated

  • April 7, 2017, 3:10 p.m.

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LADD,MARK D.; ALAM,M. KATHLEEN; SLEEFE,GERARD E. & GALLEGOS,DANIEL E. Seismic and acoustic signal identification algorithms, article, April 3, 2000; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc706966/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.